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DBMS > Graph Engine vs. GreptimeDB vs. Informix vs. Oracle Rdb

System Properties Comparison Graph Engine vs. GreptimeDB vs. Informix vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInformix  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelGraph DBMS
Key-value store
Time Series DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitewww.graphengine.iogreptime.comwww.ibm.com/­products/­informixwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationwww.graphengine.io/­docs/­manualdocs.greptime.cominformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
www.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperMicrosoftGreptime Inc.IBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2010202219841984
Current release14.10.FC5, November 20207.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CRustC, C++ and Java
Server operating systems.NETAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
HP Open VMS
Data schemeyesschema-free, schema definition possibleyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C++
Erlang
Go
Java
JavaScript
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesPythonyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSimple rights management via user accountsUsers with fine-grained authentication, authorization, and auditing controls
More information provided by the system vendor
Graph Engine infoformer name: TrinityGreptimeDBInformixOracle Rdb
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Graph Engine infoformer name: TrinityGreptimeDBInformixOracle Rdb
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